Physical Sciences and Engineering

This article presents the methodological proposal for the design and implementation of a containerized microservices architecture. The proposal covers the methodologies used for the research phase of the initial stages of project development, as well as the methodology used to create a test computing system. An architecture based on domain architectures is proposed, as well as the design of the system's physical architecture, based on the requirements presented by the collaborating institution for the test case.

Au Sénégal, le matériel agricole provient de l'importation ou de l’artisanat local, un secteur informel, confronté à des problèmes d'organisation et de commercialisation. L'objectif de cet article est de contribuer à l'amélioration des connaissances sur ce secteur. En plus des données secondaires, des enquêtes quantitatives et qualitatives ont permis de collecter des données primaires auprès de dix-sept commerçants de six sites sélectionnés aléatoirement: Sara, Léona Niassène, Ngane, Taïba, Nioro et École Gambetta.

Building quantum chips entails a sophisticated, multi-phased fabrication process that integrates advanced concepts from quantum mechanics, materials science, semiconductor engineering, and nanotechnology. This researchinnovative idea can serve as the core processing units within quantum computers, utilizing quantum bits, orqubits, which make superposition and entanglement possible, to perform computation that surpasses classical limitations.

Chemical based corrosion inhibitors are effective in preventing corrosion however they pose significant risks to the environment. In the field of corrosion science, plant extracts and their byproducts have demonstrated considerable promise as inhibitors for protecting metals and alloys from degradation in aggressive environments. Aswag and haroot extract was used as a natural corrosion inhibitor for copper metal in acidic and ammoniacal medium. Inhibition effect of root extract of Withaniasomnifera on copper has been studied using weight loss method at temperature range 303K to 343K.

This research paper comprehensively analysis how social media influencers impact tourism patterns in India. Through extensive data collection and analysis of 30 top tourism influencers, we developed machine learning models to quantify and predict the relationship between social media metrics and tourism outcomes. Our findings reveal that engagement metrics, content authenticity, and local cultural context strongly predict tourism impact. The ML models developed demonstrate up to 82% accuracy in predicting tourism trends based on social media data.

The aim of this work is to probe observable effects of vortex driven Superfluid-Mott insulator transition using the rotational Bose-Hubbard mode kept inhomogeneous by a Berry curvature, considering neutral bosons confined in a 1D confinement about the x-direction. The 1D model includes two-or-three-body onsite interaction in order to probe further into the interactions. Our theoretical results show notable effects.

Water is very important for our life. And it is abundantly available in nature. For the investigation we have collected four sample near Parichha thermal plant. Water samples are collecting in February, May, August, NovemberMonth. During physiochemical analysis fluoride have found in very excess amount in groundwater sample collected from resources of drinking water near Parichha thermal plant. While fluoride levels can vary greatly, some fluorides are found naturally in soil, air, and water. Fluoride is present in almost all water.

The majority of literature on machine learning for resting-state functional magnetic resonance imaging (RS-fMRI) is devoted to unsupervised learning approaches. Modelling resting-state activity is challenging due to the absence of controlled stimuli driving fluctuations. Early analytic approaches focused on decomposition or clustering techniques to better characterize data in spatial and temporal domains. Unsupervised learning methods like ICA catalysed the discovery of resting-state networks or RSNs, which describe functionally coherent spatial compartments within the brain.

Customer loyalty is one of the most important businesses KPI for managers of companies and organizations. In fact, making customers loyal is one of the solutions to reduce future advertising and marketing costs. The main objective of this study was to investigate the role of brand experience and relationship benefits on customer loyalty. In this article, a questionnaire was used to measure the research variables. Based on the research literature, relationship benefits were measured through three variables: confidence, social, and special treatment benefits.

The rising threat of antimicrobial resistance demands the development of novel therapeutic agents with broad-spectrum efficacy. In this study, a series of thiadiazolyl-pyridine derivatives (5a–5h) was synthesized using a one-pot multicomponent reaction involving acetylthiadiazole, substituted aromatic aldehydes, malononitrile, and ammonium acetate in refluxing acetic acid. This green and efficient synthetic route offered high yields and reduced environmental impact. The structures of the synthesized compounds were confirmed by ¹H NMR, LC-MS, and elemental analysis.